Building an F1 prediction engine – Predictive Modelling Part II
This post will describe and explain maybe the most critical part of predictive modelling: how to correctly estimate the performance of a machine learning model. This is performed by setting up a trusted cross-validation framework. It’s crucial to get this right, otherwise your model performance estimates will not reflect the true model performance.